Fix dataset card: remove viewer:false, remove speed claim, simplify features

dots-ocr.py

@@ -16,12 +16,10 @@
 Convert document images to markdown using DoTS.ocr with vLLM.
 
 DoTS.ocr is a compact 1.7B multilingual document parsing model with SOTA performance
-on 100+ languages. This script uses vLLM for efficient batch processing (2-3x faster
-than native HuggingFace transformers).
+on 100+ languages. This script uses vLLM for efficient batch processing.
 
 Features:
 - 🌍 Multilingual support (100+ languages)
-- ⚡ Fast processing with vLLM (2-3x speedup)
 - 📊 Table extraction and formatting
 - 📐 Formula recognition
 - 📝 Layout-aware text extraction
@@ -145,7 +143,6 @@ def create_dataset_card(
     model_name = model.split("/")[-1]
 
     return f"""---
-viewer: false
 tags:
 - ocr
 - document-processing
@@ -186,7 +183,6 @@ DoTS.ocr is a compact multilingual document parsing model that excels at:
 - 📊 **Table extraction** - Structured data recognition
 - 📐 **Formulas** - Mathematical notation preservation
 - 📝 **Layout-aware** - Reading order and structure preservation
-- ⚡ **Fast inference** - 2-3x faster than native HF with vLLM
 - 🎯 **Compact** - Only 1.7B parameters
 
 ## Dataset Structure
@@ -231,11 +227,6 @@ uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-ocr.py \\
     --gpu-memory-utilization {gpu_memory_utilization}
 ```
 
-## Performance
-
-- **Processing Speed**: ~{num_samples / (float(processing_time.split()[0]) * 60):.1f} images/second
-- **GPU Configuration**: vLLM with {gpu_memory_utilization:.0%} GPU memory utilization
-
 Generated with 🤖 [UV Scripts](https://huggingface.co/uv-scripts)
 """